FAANG Interview Questions and Answers (2025 Updated)

Last updated: January 2025 · 18 min read

FAANGInterview Questions

FAANG interview questions (Facebook/Meta, Amazon, Apple, Netflix, Google) are notoriously challenging. This guide compiles the most common FAANG interview questions and answers from real candidates who received offers in 2024-2025.

Most Common FAANG Interview Questions

Top 10 Coding Questions Asked at FAANG:

  1. 1. Two Sum (Amazon, Apple, Google)
  2. 2. Reverse Linked List (Amazon, Facebook, Microsoft)
  3. 3. Merge K Sorted Lists (Google, Amazon)
  4. 4. Longest Substring Without Repeating Characters (Facebook, Amazon)
  5. 5. Binary Tree Level Order Traversal (Facebook, Apple)
  6. 6. Validate Binary Search Tree (Amazon, Microsoft)
  7. 7. LRU Cache (Amazon, Google, Apple)
  8. 8. Word Ladder (Google, Facebook)
  9. 9. Coin Change (Meta, Amazon)
  10. 10. Number of Islands (Facebook, Amazon, Google)

Google Interview Questions and Answers

Q: Design a URL Shortener (System Design)

Answer Approach:

  • • Use hash function to generate short URL
  • • Store mappings in NoSQL database (Redis for cache)
  • • Handle collisions with counter or random string
  • • Implement analytics tracking (click counts)
  • • Scale with load balancers and database sharding

Q: Serialize and Deserialize Binary Tree

Key Points: Use pre-order traversal, handle null nodes with marker, reconstruct recursively

Amazon Interview Questions and Answers

Q: Tell me about a time you had to work with ambiguous requirements (Behavioral)

STAR Method Answer:

Situation: Assigned a new feature with vague specifications

Task: Needed to clarify requirements and deliver on time

Action: Scheduled stakeholder meetings, created detailed PRD, built prototype for feedback

Result: Delivered feature 2 weeks early, adopted as company standard

Q: Implement LRU Cache (Coding)

Solution: Use HashMap + Doubly Linked List, O(1) for get/put operations

Meta (Facebook) Interview Questions and Answers

Q: Design Facebook News Feed (System Design)

Answer Approach:

  • • Fan-out on write vs fan-out on read trade-offs
  • • Use graph database for social connections
  • • Implement ranking algorithm (engagement score)
  • • Cache with Redis for hot users
  • • CDN for images/videos

Q: Clone Graph (Coding)

Key Points: Use DFS/BFS with HashMap to track visited nodes

Apple Interview Questions and Answers

Q: Why do you want to work at Apple? (Behavioral)

Strong Answer Elements:

  • • Passion for user experience and design excellence
  • • Admiration for specific Apple products (mention details)
  • • Alignment with privacy and security values
  • • Desire to work on products used by billions

Netflix Interview Questions and Answers

Q: Design a Recommendation System (System Design)

Answer Approach:

  • • Collaborative filtering (user-user, item-item)
  • • Content-based filtering (genre, actors, directors)
  • • Hybrid approach for best results
  • • Real-time personalization pipeline
  • • A/B testing framework for algorithm improvements

Common FAANG Behavioral Questions

• Tell me about your most challenging project

Focus on technical complexity and your problem-solving approach

• Describe a time you disagreed with your manager

Show respectful disagreement and data-driven decision making

• How do you handle tight deadlines?

Emphasize prioritization, communication, and quality maintenance

How to Prepare for FAANG Interviews

  1. 1. Master DSA Fundamentals: Focus on arrays, trees, graphs, DP
  2. 2. Practice Company-Specific Questions: Use LeetCode company tags
  3. 3. Mock Interviews: Do 10+ mocks before your real interview
  4. 4. Study System Design: Essential for L4+ roles
  5. 5. Prepare STAR Stories: Have 8-10 behavioral stories ready
  6. 6. Research Company Culture: Read Glassdoor, Blind, team blogs

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